DVI,FRACTAL IMAGE,SUB BAND IMAGE,VIDEO CODING AND WAVELET BASED COMPRESSION

M.SUJITHA,
II-M.SC(CS&IT),
Nadar Saraswathi College Of Arts And Science,
Theni

 DVI was designed to transfer digital data from computers to
display device such as LCD monitors or projectors.
 DVI or computer hardware doesn't support such data.
 An adapter is used to combine the DVI data with digital or
analog audio.
 Digital video interactive (DVI) technology, a digital presentation
technology
 That manages anything from text to full-motion video.
 The potential of expanding the usefulness of personal
computers, while rendering them less intimidating.
 The components of DVI, the additional hardware and software
needed to develop applications for this medium
 The uses of the medium by reviewing some DVI applications
under development.

 Fractal is a lossy compression method for
digital images, based on fractals.
 It is a storage and decompression chip
using fractal transform image compression technolo
gy.
 To date the most successful use of still fractal
image compression is by Microsoft in its
Encarta multimedia encyclopedia.

 The integration of video into the computing environment
involves many concerns.
 Including communications hardware and software protocols,
storage systems, user interface design, authoring tools.
 The methods to index and browse vast information resources.
 Important though they are, it is video compression that resides
at the center of this chain.
 The concerns of video compression are likewise diverse and
include: image quality, bandwidth adaptation, playback
performance, memory consumption, coding symmetry,

 In signal processing, sub-band coding (SBC) is any form
of transform coding .
 That breaks a signal into a number of different frequency
bands.
 Typically by using a fast Fourier transform, and encodes
each one independently.
 This decomposition is often the first step in data
compression for audio and video signals.

 The simplest way to digitally encode audio signals is pulse-
code modulation (PCM).
 Which is used on audio CDs, DAT recordings, and so on.
 Digitization transforms continuous signals into discrete ones
by sampling a signal's amplitude at uniform intervals
 Rounding to the nearest value representable with the
available number of bits.
 This process is fundamentally inexact, and involves two
errors:
 discretization error, from sampling at intervals,
 quantization error, from rounding

 To enable higher quality compression, one may use subband
coding.
 First, a digital filter bank divides the input signal spectrum
into some number (e.g., 32) of subbands.
 The psychoacoustic model looks at the energy in each of these
subbands.
 Each of the subband samples is quantized and encoded so as to
keep the quantization noise below the dynamically computed
masking threshold.
 The final step is to format all these quantized samples into
groups of data called frames, to facilitate eventual playback by
a decoder.


 Digital video communication is a rapidly developing
field.
 Especially with the progress made in video
coding techniques.
 This progress has led to a high number
of video applications such as,
 High-Definition Television (HDTV),
videoconferencing and real-time video transmission
over multimedia.

 These image compression techniques are basically
classified into,
 Lossy lossless compression
 compression using wavelet transforms results in an
improved compression ratio as well as image
quality.
 Wavelet transform is the only method that provides
both spatial and frequency domain information.

DVI,FRACTAL IMAGE,SUB BAND IMAGE,VIDEO CODING AND WAVELET BASED COMPRESSION

DVI,FRACTAL IMAGE,SUB BAND IMAGE,VIDEO CODING AND WAVELET BASED COMPRESSION

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DVI,FRACTAL IMAGE,SUB BAND IMAGE,VIDEO CODING AND WAVELET BASED COMPRESSION